Abstract
In this letter, we propose a resource allocation for cooperative relaying in a scenario with a high number of communicating devices. The proposed resource allocation is based on Nash bargaining solution (NBS) and leads to a natural cooperation among devices. The NBS provides an allocation of time intervals maximizing the number of transmitted packets considering energy consumption of devices. The derived NBS is in closed form, thus, it is suitable for wireless communications with time-varying channels as no iterations are needed to find the optimum allocation. Furthermore, linear complexity of the derived NBS allows its application to future mobile networks with a high number of communicating devices.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538665282 |
| DOIs | |
| State | Published - Jul 2019 |
| Event | 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France Duration: 2 Jul 2019 → 5 Jul 2019 |
Publication series
| Name | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
|---|---|
| Volume | 2019-July |
Conference
| Conference | 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 |
|---|---|
| Country/Territory | France |
| City | Cannes |
| Period | 2/07/19 → 5/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cooperative game theory
- Nash bargaining
- cooperative relaying
- energy consumption
- resource allocation
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems
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